Document that the data now is hosted at https://registry.opendata.aws/recount/ in addition to IDIES

Author: lcolladotor

index.Rmd

@@ -14,7 +14,7 @@ output:
 
 **recount3** is an online resource consisting of RNA-seq gene, exon, and exon-exon junction counts as well as coverage bigWig files for 8,679 and 10,088 different studies for human and mouse respectively. It is the third generation of the [ReCount project](http://bowtie-bio.sourceforge.net/recount/) and part of [**recount.bio**](https://recount.bio).
 
-The raw sequencing data were processed with the Monorail system as described in the [recount3 paper](https://doi.org/10.1186/s13059-021-02533-6) which created the coverage bigWig files and the recount-unified text files. While these raw output files are available through [IDIES SciServer](https://idies.jhu.edu/), for ease of statistical analysis, we provide through the `r BiocStyle::Biocpkg("recount3")` R/Bioconductor package an interface that builds [RangedSummarizedExperiment](https://doi.org/10.1038/nmeth.3252) R objects for gene, exon, and exon-exon junction counts for each study. Furthermore, `r BiocStyle::Biocpkg("snapcount")` enables query-based access of the `recount3` and `recount2` data. The coverage bigWig files can be used for annotation-agnostic expression analyses using for example `r BiocStyle::Biocpkg("megadepth")`, `r BiocStyle::Biocpkg("derfinder")` and other tools. 
+The raw sequencing data were processed with the Monorail system as described in the [recount3 paper](https://doi.org/10.1186/s13059-021-02533-6) which created the coverage bigWig files and the recount-unified text files. While these raw output files are available through the [Registry of Open Data on AWS](https://registry.opendata.aws/recount/) as well as [IDIES SciServer](https://idies.jhu.edu/), for ease of statistical analysis, we provide through the `r BiocStyle::Biocpkg("recount3")` R/Bioconductor package an interface that builds [RangedSummarizedExperiment](https://doi.org/10.1038/nmeth.3252) R objects for gene, exon, and exon-exon junction counts for each study. Furthermore, `r BiocStyle::Biocpkg("snapcount")` enables query-based access of the `recount3` and `recount2` data. The coverage bigWig files can be used for annotation-agnostic expression analyses using for example `r BiocStyle::Biocpkg("megadepth")`, `r BiocStyle::Biocpkg("derfinder")` and other tools. 
 
 By taking care of several pre-processing steps and combining many datasets into one easily-accessible website, we make finding and analyzing RNA-seq data considerably more straightforward. For more details about `recount3`, check the [documentation book](docs/).
 
@@ -55,5 +55,5 @@ Previous `ReCount` projects:
 * [Leonardo Collado-Torres](http://lcolladotor.github.io/) and [Andrew E. Jaffe](http://aejaffe.com/) from [LIBD](https://www.libd.org/)
 * [Abhinav Nellore's lab at OHSU](http://nellore.bio/)
 * [Jeff Leek's lab at JHBSPH Biostatistics Deparment](http://jtleek.com/)
-* Data hosted by [SciServer from IDIES at JHU](https://www.sciserver.org/)
+* Data hosted by the [Registry of Open Data on AWS](https://registry.opendata.aws/recount/) and [SciServer from IDIES at JHU](https://www.sciserver.org/) through a load balancer called [duffel](https://github.com/nellore/digitalocean-duffel).